Prediction of temperature distribution in asphalt concrete layers
The paper is devoted to the issues of predicting the temperature distribution in asphalt concrete layers in different periods of the year. Mechanical parameters of asphalt concrete strongly depend on its temperature. The reliability of the temperature dependence used for temperature prediction direc...
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| Format: | Article |
| Language: | English |
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Peter the Great St. Petersburg Polytechnic University
2024-11-01
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| Series: | Magazine of Civil Engineering |
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| Online Access: | http://engstroy.spbstu.ru/article/2024.131.01/ |
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| author | Tiraturyan Artem Uglova Evgenia Simchuk Evgeniy Kadyrov Georgiy Gorskiy Mihail |
| author_facet | Tiraturyan Artem Uglova Evgenia Simchuk Evgeniy Kadyrov Georgiy Gorskiy Mihail |
| author_sort | Tiraturyan Artem |
| collection | DOAJ |
| description | The paper is devoted to the issues of predicting the temperature distribution in asphalt concrete layers in different periods of the year. Mechanical parameters of asphalt concrete strongly depend on its temperature. The reliability of the temperature dependence used for temperature prediction directly determines the reliability of calculation methods for motorway pavements design. At the same time, it should be noted that many existing models describe the temperature distribution along the depth of the asphalt concrete layer package with a rather large degree of error and are not calibrated for the conditions of the Russian Federation. Methods. The approach proposed by the authors is based on the study of the actual temperature distribution in asphalt concrete pavements by analyzing data from a set of measuring sensors installed at different depths of the asphalt concrete pavement package. The actual temperature distribution was monitored during the annual cycle from March 2023 to April 2024. Results. To approximate the results obtained, a dependence describing the sinusoidal nature of temperature variation on the surface and in the asphalt concrete layers was modified. Modification of the dependence was carried out by introducing an additional empirical parameter characterizing the dependence of the change in the absolute temperature value on the depth. The accuracy of the modified dependence is confirmed by the root mean square error (RMSE) value of up to 10 %. Conclusions. The model modified in the paper can be used at the stage of design and operation of motorways when calculating the temperature conditions of asphalt concrete layers. |
| format | Article |
| id | doaj-art-4386f49faa4b41d7aecd7f0c6d25119d |
| institution | DOAJ |
| issn | 2712-8172 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Peter the Great St. Petersburg Polytechnic University |
| record_format | Article |
| series | Magazine of Civil Engineering |
| spelling | doaj-art-4386f49faa4b41d7aecd7f0c6d25119d2025-08-20T03:11:26ZengPeter the Great St. Petersburg Polytechnic UniversityMagazine of Civil Engineering2712-81722024-11-01180710.34910/MCE.131.120714726Prediction of temperature distribution in asphalt concrete layersTiraturyan Artem0https://orcid.org/0000-0001-5912-1235Uglova Evgenia1Simchuk Evgeniy2Kadyrov Georgiy3Gorskiy Mihail4Federal State-Funded Educational Institution of Higher Education Don State Technical UniversityAcademy of Construction and Architecture Don State Technical UniversityAutonomous non-commercial organisation ‘Research Institute of Transport and Construction Complex’Autonomous non-commercial organisation ‘Research Institute of Transport and Construction Complex’Autonomous non-commercial organisation ‘Research Institute of Transport and Construction Complex’The paper is devoted to the issues of predicting the temperature distribution in asphalt concrete layers in different periods of the year. Mechanical parameters of asphalt concrete strongly depend on its temperature. The reliability of the temperature dependence used for temperature prediction directly determines the reliability of calculation methods for motorway pavements design. At the same time, it should be noted that many existing models describe the temperature distribution along the depth of the asphalt concrete layer package with a rather large degree of error and are not calibrated for the conditions of the Russian Federation. Methods. The approach proposed by the authors is based on the study of the actual temperature distribution in asphalt concrete pavements by analyzing data from a set of measuring sensors installed at different depths of the asphalt concrete pavement package. The actual temperature distribution was monitored during the annual cycle from March 2023 to April 2024. Results. To approximate the results obtained, a dependence describing the sinusoidal nature of temperature variation on the surface and in the asphalt concrete layers was modified. Modification of the dependence was carried out by introducing an additional empirical parameter characterizing the dependence of the change in the absolute temperature value on the depth. The accuracy of the modified dependence is confirmed by the root mean square error (RMSE) value of up to 10 %. Conclusions. The model modified in the paper can be used at the stage of design and operation of motorways when calculating the temperature conditions of asphalt concrete layers.http://engstroy.spbstu.ru/article/2024.131.01/asphalt pavementsmechanical propertiesdurabilitytemperaturemonitoring |
| spellingShingle | Tiraturyan Artem Uglova Evgenia Simchuk Evgeniy Kadyrov Georgiy Gorskiy Mihail Prediction of temperature distribution in asphalt concrete layers Magazine of Civil Engineering asphalt pavements mechanical properties durability temperature monitoring |
| title | Prediction of temperature distribution in asphalt concrete layers |
| title_full | Prediction of temperature distribution in asphalt concrete layers |
| title_fullStr | Prediction of temperature distribution in asphalt concrete layers |
| title_full_unstemmed | Prediction of temperature distribution in asphalt concrete layers |
| title_short | Prediction of temperature distribution in asphalt concrete layers |
| title_sort | prediction of temperature distribution in asphalt concrete layers |
| topic | asphalt pavements mechanical properties durability temperature monitoring |
| url | http://engstroy.spbstu.ru/article/2024.131.01/ |
| work_keys_str_mv | AT tiraturyanartem predictionoftemperaturedistributioninasphaltconcretelayers AT uglovaevgenia predictionoftemperaturedistributioninasphaltconcretelayers AT simchukevgeniy predictionoftemperaturedistributioninasphaltconcretelayers AT kadyrovgeorgiy predictionoftemperaturedistributioninasphaltconcretelayers AT gorskiymihail predictionoftemperaturedistributioninasphaltconcretelayers |